Cover Image

Lite-BD: A Lightweight Black-box Backdoor Defense via Reviving Multi-Stage Image Transformations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Miah, Abdullah Arafat, Bi, Yu
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
by: Miah, Abdullah Arafat, et al.
Published: (2024)

BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron
by: Miah, Abdullah Arafat, et al.
Published: (2026)

BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack
by: Khan, Md Nabi Newaz, et al.
Published: (2026)

NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise
by: Miah, Abdullah Arafat, et al.
Published: (2024)

Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
by: Yi, Biao, et al.
Published: (2025)

BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS
by: Li, Ye, et al.
Published: (2025)

Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense
by: Zhou, Qi, et al.
Published: (2024)

WGLE:Backdoor-free and Multi-bit Black-box Watermarking for Graph Neural Networks
by: Li, Tingzhi, et al.
Published: (2025)

Dynamic Black-box Backdoor Attacks on IoT Sensory Data
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)

Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models
by: Yang, Xiao, et al.
Published: (2024)

Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation
by: Zhai, Shengfang, et al.
Published: (2025)

Attack as Defense: Run-time Backdoor Implantation for Image Content Protection
by: Zhang, Haichuan, et al.
Published: (2024)

MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
by: Hua, Jiayi, et al.
Published: (2024)

LiteQSign: Lightweight and Quantum-Safe Signatures for Heterogeneous IoT Applications
by: Yavuz, Attila A., et al.
Published: (2023)

Query Provenance Analysis: Efficient and Robust Defense against Query-based Black-box Attacks
by: Li, Shaofei, et al.
Published: (2024)

Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
by: Zhu, Mingli, et al.
Published: (2025)

BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation
by: Zhu, Chengcheng, et al.
Published: (2025)

BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
by: Yu, Haiyang, et al.
Published: (2024)

LiteRSan: Lightweight Memory Safety Via Rust-specific Program Analysis and Selective Instrumentation
by: Xia, Tianrou, et al.
Published: (2025)

LiteUpdate: A Lightweight Framework for Updating AI-Generated Image Detectors
by: Lu, Jiajie, et al.
Published: (2025)

Post-train Black-box Defense via Bayesian Boundary Correction
by: Wang, He, et al.
Published: (2023)

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey
by: Abbasi, Bilal Hussain, et al.
Published: (2025)

Simulation of Multi-Stage Attack and Defense Mechanisms in Smart Grids
by: Sen, Omer, et al.
Published: (2024)

Lightweight and Fast Backdoor Model Detection
by: Yu, Yinbo, et al.
Published: (2026)

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense
by: Childress, Victoria, et al.
Published: (2025)

Performance-lossless Black-box Model Watermarking
by: Zhao, Na, et al.
Published: (2023)

Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
by: Chen, Yulin, et al.
Published: (2025)

Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
by: Yang, Yuxin, et al.
Published: (2024)

E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks
by: Yuan, Dingqiang, et al.
Published: (2024)

SoK: The Last Line of Defense: On Backdoor Defense Evaluation
by: Abad, Gorka, et al.
Published: (2025)

Seal Your Backdoor with Variational Defense
by: Sabolić, Ivan, et al.
Published: (2025)

Robustness Inspired Graph Backdoor Defense
by: Zhang, Zhiwei, et al.
Published: (2024)

LiteShield: Hybrid Feature Selection-Driven Lightweight Intrusion Detection for Resource-Constrained IoT Networks
by: Mabulage, Dileepa, et al.
Published: (2026)

PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning
by: Xu, Yukai, et al.
Published: (2024)

MARS: A Malignity-Aware Backdoor Defense in Federated Learning
by: Wan, Wei, et al.
Published: (2025)

BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models
by: Wu, Zhengxian, et al.
Published: (2025)

KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs
by: Liu, Shuyuan, et al.
Published: (2025)

DualSentinel: A Lightweight Framework for Detecting Targeted Attacks in Black-box LLM via Dual Entropy Lull Pattern
by: Pang, Xiaoyi, et al.
Published: (2026)

Plato's Form: Toward Backdoor Defense-as-a-Service for LLMs with Prototype Representations
by: Chen, Chen, et al.
Published: (2026)

Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems
by: Alam, Md Takrim Ul, et al.
Published: (2026)